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Data & Analytics

Muhimma — Consumer Intelligence Platform

Continuous consumer-insights platform for challenger brands in KSA and UAE, built on a verified 400,000-member community instead of anonymous panels.

  • React.js
  • Vite
  • JavaScript (ES6+)
  • REST APIs
  • Bootstrap
  • i18n (Arabic/English)
  • Cloudflare
Muhimma — Consumer Intelligence Platform — cover
Client
Muhimma
Duration
Feb 2022 — Sep 2022
Category
Data & Analytics

Muhimma is a Middle East consumer intelligence platform serving 85+ brands and retailers across Saudi Arabia and the UAE. Where traditional market research delivers a report twelve weeks after the question, Muhimma is always-on: brand health tracking, mental and physical availability, marketing effectiveness, mystery shopping and campaign analytics, running continuously against a community of 400,000 identity-verified members.

The frontend is a Vite-built React application behind Cloudflare, covering a broad solutions surface — market research, data analytics, customer intelligence, basket growth analysis, eCommerce and influencer intelligence, and a UGC content platform. It is fully bilingual, with an Arabic locale that is not a translation layer bolted on but a first-class direction and typography change.

The audience is challenger brands who cannot afford agency rates, so the product's whole promise is depth of insight at a price point that does not require a research department to justify.

Key features

Always-on brand health, availability and marketing effectiveness tracking

Verified-community panel of 400,000 identity-verified members in KSA and UAE

Customer intelligence, basket growth, campaign and eCommerce analytics modules

Mystery shopping and app-experience research surfaces

Full Arabic and English bilingual experience with RTL support

Vite-built React SPA served behind Cloudflare

My role

Frontend developer on the platform's public and solution surfaces.

  • Built React screens across the market research and data analytics solution areas

  • Implemented the bilingual Arabic/English experience including RTL layout handling

  • Integrated the frontend against the insights REST API

  • Built the navigation architecture covering a large multi-level solutions catalogue

Challenges & solutions

RTL is not a stylesheet flip. Arabic changes layout direction, iconography, number formatting and line-height expectations. Building logical-property layouts from the start avoided a second Arabic-only codebase later.

A solutions catalogue too large for a navbar. The product spans two dozen distinct offerings, so navigation is grouped by the question a visitor is trying to answer rather than by the internal product taxonomy.

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